Abstract: This work evaluates the effectiveness of entropy-regularized Reinforcement Learning (RL) by contrasting Soft Value Iteration with conventional Bellman-based approaches. Based on the Maximum ...

This video shows how to solve algebra problems using geometry, offering a visual approach that makes abstract equations easier to understand. By translating algebra into shapes and spatial ...

Estimates from the Predicting Risk of Cardiovascular Disease EVENT (PREVENT) equations identified substantially fewer individuals eligible to receive aspirin for the primary prevention of ...

The Ray-Ban Meta emphasizes versatility and style, offering a range of designs, including Wayfarer, Highlander, and Skylers, alongside numerous color and lens options. This makes it an excellent ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

Polynomial equations are a cornerstone of modern science, providing a mathematical basis for celestial mechanics, computer graphics, market growth predictions and much more. But although most high ...

A mathematician has uncovered a way of answering some of algebra's oldest problems. University of New South Wales Honorary Professor Norman Wildberger, has revealed a potentially game-changing ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...